APA (7th ed.) Citation

Mai, H. T., Kang, J., & Lee, J. (2021). A machine learning-based surrogate model for optimization of truss structures with geometrically nonlinear behavior. Finite elements in analysis and design, 196, 103572. https://doi.org/10.1016/j.finel.2021.103572

Chicago Style (17th ed.) Citation

Mai, Hau T., Joowon Kang, and Jaehong Lee. "A Machine Learning-based Surrogate Model for Optimization of Truss Structures with Geometrically Nonlinear Behavior." Finite Elements in Analysis and Design 196 (2021): 103572. https://doi.org/10.1016/j.finel.2021.103572.

MLA (9th ed.) Citation

Mai, Hau T., et al. "A Machine Learning-based Surrogate Model for Optimization of Truss Structures with Geometrically Nonlinear Behavior." Finite Elements in Analysis and Design, vol. 196, 2021, p. 103572, https://doi.org/10.1016/j.finel.2021.103572.